Inability to efficiently implement high-throughput field phenotyping is increasingly perceived as a key component that limits genetic gain in breeding programs. Field phenotyping must be integrated into a wider context than just choosing the correct selection traits, deployment tools, evaluation platforms, or basic data-management methods. Phenotyping means more than conducting such activities in a resource-efficient manner; it also requires appropriate trial management and spatial variability handling, definition of key constraining conditions prevalent in the target population of environments, and the development of more comprehensive data management, including crop modeling. This review will provide a wide perspective on how field phenotyping is best implemented. It will also outline how to bridge the gap between breeders and ‘phenotypers’ in an effective manner.

无法有效实施高通量田间表型分析越来越被认为是限制育种计划中遗传增益的关键因素。现场表型分析必须融入更广泛的环境中，而不仅仅是选择正确的选择性状、部署工具、评估平台或基本数据管理方法。表型分析不仅仅意味着以资源有效的方式开展此类活动；它还需要适当的试验管理和空间变异处理，定义目标环境人群中普遍存在的关键约束条件，以及开发更全面的数据管理，包括作物建模。本综述将为如何最好地实施现场表型分析提供广泛的视角。它还将概述如何以有效的方式弥合育种者和“表型者”之间的差距。